Comparative Analysis of Four Programming Languages for Machine Learning
保存先:
| 出版年: | Ingenierie des Systemes d'Information vol. 30, no. 6 (Jun 2025), p. 1437-1446 |
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| 第一著者: | |
| その他の著者: | , |
| 出版事項: |
International Information and Engineering Technology Association (IIETA)
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| オンライン･アクセス: | Citation/Abstract Full Text - PDF |
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| 抄録: | Software engineers often compare programming languages. Several programming languages are designed, specified, and implemented every year in order to accommodate changing programming paradigms, hardware evolution, and other changes. In a comparative study of Python, Visual Basic.Net (VB.NET), C++, and Java, we examine machine learning capabilities of these four programming languages. This field of study focuses on computers that learn from experience and use information to become more efficient. As a general rule, it falls under the realm of computing. The process of machine learning entails analyzing samples of data to develop a model that can make predictions without any explicit programming. ML models and frameworks have evolved into increasingly complex models along with machine learning (ML). A number of emerging technologies are becoming increasingly important as software machine learning advances, such as Python, C++, VB.NET, and Java. Comparing these languages can reveal several characteristics. |
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| ISSN: | 1633-1311 2116-7125 1290-2926 |
| DOI: | 10.18280/isi.300603 |
| ソース: | Engineering Database |